All Projects → spectrochempy → spectrochempy

spectrochempy / spectrochempy

Licence: other
SpectroChemPy is a framework for processing, analyzing and modeling spectroscopic data for chemistry with Python

Programming Languages

python
139335 projects - #7 most used programming language
Dockerfile
14818 projects

Projects that are alternatives of or similar to spectrochempy

awesome-spectra
🌈 A collaborative list of awesome tools for spectroscopy. Also, check:
Stars: ✭ 47 (+38.24%)
Mutual labels:  spectroscopy, infrared, raman, ftir
PeakFit
A peak-fitting tool based on MATLAB for spectroscopic data analysis.
Stars: ✭ 25 (-26.47%)
Mutual labels:  spectroscopy, raman
py-wdf-reader
Python package for read-only accessing the wdf Raman spectroscopy from Ranishaw WiRE software
Stars: ✭ 17 (-50%)
Mutual labels:  raman, raman-spectroscopy
akshare
AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库
Stars: ✭ 5,155 (+15061.76%)
Mutual labels:  data-analysis, datasets
qe-gipaw
QE-GIPAW for Quantum-Espresso (official repository)
Stars: ✭ 19 (-44.12%)
Mutual labels:  nmr, spectroscopy
Akshare
AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库
Stars: ✭ 4,334 (+12647.06%)
Mutual labels:  data-analysis, datasets
Spectra.jl
Spectra.jl aims at helping treatment of spectral (Raman, Infrared, XAS, NMR) data under the Julia language
Stars: ✭ 18 (-47.06%)
Mutual labels:  spectroscopy, raman
Tdc
Therapeutics Data Commons: Machine Learning Datasets and Tasks for Therapeutics
Stars: ✭ 291 (+755.88%)
Mutual labels:  chemistry, datasets
Machine Learning Resources
A curated list of awesome machine learning frameworks, libraries, courses, books and many more.
Stars: ✭ 226 (+564.71%)
Mutual labels:  data-analysis, datasets
Gopup
数据接口:百度、谷歌、头条、微博指数,宏观数据,利率数据,货币汇率,千里马、独角兽公司,新闻联播文字稿,影视票房数据,高校名单,疫情数据…
Stars: ✭ 1,229 (+3514.71%)
Mutual labels:  data-analysis, datasets
nmrium
React component to display and process nuclear magnetic resonance (NMR) spectra.
Stars: ✭ 24 (-29.41%)
Mutual labels:  nmr, nmr-spectroscopy
prospectr
R package: Misc. Functions for Processing and Sample Selection of Spectroscopic Data
Stars: ✭ 26 (-23.53%)
Mutual labels:  spectroscopy, infrared
tempo
API for manipulating time series on top of Apache Spark: lagged time values, rolling statistics (mean, avg, sum, count, etc), AS OF joins, downsampling, and interpolation
Stars: ✭ 212 (+523.53%)
Mutual labels:  data-analysis
Datscan
DatScan is an initiative to build an open-source CMS that will have the capability to solve any problem using data Analysis just with the help of various modules and a vast standardized module library
Stars: ✭ 13 (-61.76%)
Mutual labels:  data-analysis
whyqd
data wrangling simplicity, complete audit transparency, and at speed
Stars: ✭ 16 (-52.94%)
Mutual labels:  data-analysis
website-old
The Frictionless Data website.
Stars: ✭ 31 (-8.82%)
Mutual labels:  data-analysis
multi-task-defocus-deblurring-dual-pixel-nimat
Reference github repository for the paper "Improving Single-Image Defocus Deblurring: How Dual-Pixel Images Help Through Multi-Task Learning". We propose a single-image deblurring network that incorporates the two sub-aperture views into a multitask framework. Specifically, we show that jointly learning to predict the two DP views from a single …
Stars: ✭ 29 (-14.71%)
Mutual labels:  datasets
heidi
heidi : tidy data in Haskell
Stars: ✭ 24 (-29.41%)
Mutual labels:  data-analysis
pyMCR
pyMCR: Multivariate Curve Resolution for Python
Stars: ✭ 55 (+61.76%)
Mutual labels:  spectroscopy
PracticalMachineLearning
A collection of ML related stuff including notebooks, codes and a curated list of various useful resources such as books and softwares. Almost everything mentioned here is free (as speech not free food) or open-source.
Stars: ✭ 60 (+76.47%)
Mutual labels:  data-analysis


SpectroChemPy

Tests Actions Status Total alerts Language grade: Python Maintainability Test Coverage Conda PyPI version Docs DOI Conda

What is SpectroChemPy?

SpectroChemPy (SCPy) is a framework for processing, analyzing and modeling Spectroscopic data for Chemistry with Python. It is a cross-platform software, running on Linux, Windows or OS X.

Features

Among its major features:

  • A NDDataset object embedding array of data with labeled axes and metadata.
  • A Project manager to work on multiple NDDataset simultaneously.
  • Physical Units for NDDataset.
  • Mathematical operations over NDDataset such addition, multiplication and many more ...
  • Import functions to read data from experiments or modeling programs ...
  • Display functions such as plot for 1D or nD datasets ...
  • Export functions to csv, xls formats ...
  • Preprocessing functions such as baseline correction, automatic subtraction and many more ...
  • Fitting capabilities for single or multiple datasets ...
  • Exploratory analysis such as SVD, PCA, MCR_ALS, EFA ...

Warning:

 SpectroChemPy is still experimental and under active development.
 Its current design is subject to major changes, reorganizations, bugs and crashes!!!.
 Please report any issues to the Issue Tracker.

Documentation

The online Html documentation is available here: HTML documentation

Examples, tutorials

A zip archive of all the notebooks corresponding to the documentation can be found here

Installation

Follow the instructions here: Installation guide

Issue Tracker

You find a problem, want to suggest enhancements or want to look at the current issues and milestones, you can go there: Issue Tracker

Citing SpectroChemPy

When using SpectroChemPy for your own work, you are kindly requested to cite using the recommandation here.

Source repository

The sources are versioned using the git system and hosted on the GitHub platform: https://github.com/spectrochempy/spectrochempy

License

CeCILL-B FREE SOFTWARE LICENSE AGREEMENT

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].